israrbacha's repositories
AbSViT
Official code for "Top-Down Visual Attention from Analysis by Synthesis" (CVPR 2023 highlight)
Awesome-Transformer-Attention
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
CLIP-LIT
[ICCV 2023] Iterative Prompt Learning for Unsupervised Backlit Image Enhancement
cross-image-attention
Officail Implementation for "Cross-Image Attention for Zero-Shot Appearance Transfer"
custom-diffusion
Custom Diffusion: Multi-Concept Customization of Text-to-Image Diffusion (CVPR 2023)
cvpr-latex-template
Extended LaTeX template for CVPR/ICCV papers
DDPMs_best_implementation
Personal implementations of Machine Learning papers
DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
DiffFit-pytorch
Implementation of "DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-Efficient Fine-Tuning"
diffusion-ddpm
Implementation of "Denoising Diffusion Probabilistic Models", Ho et al., 2020
diffusion_priors
Using pre-trained Diffusion models as priors for inference tasks
DP-MEPF
TMLR2023
GenerativeModels
MONAI Generative Models makes it easy to train, evaluate, and deploy generative models and related applications
glide-text2im
GLIDE: a diffusion-based text-conditional image synthesis model
lora
Using Low-rank adaptation to quickly fine-tune diffusion models.
MultiDiffusion
Official Pytorch Implementation for "MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation" presenting "MultiDiffusion" (ICML 2023)
Neural-Network-Architecture-Diagrams
Diagrams for visualizing neural network architecture (Created with diagrams.net)
ODISE
Official PyTorch implementation of ODISE: Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models [CVPR 2023 Highlight]
picoGPT
An unnecessarily tiny implementation of GPT-2 in NumPy.
pix2pix-zero
Zero-shot Image-to-Image Translation [SIGGRAPH 2023]
pix2pix3D
pix2pix3D: Generating 3D Objects from 2D User Inputs
pytorch-grad-cam
Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Examples for classification, object detection, segmentation, embedding networks and more. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM
PyTorch-StudioGAN
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
single-img-extrapolating
Repo for the paper "Extrapolating from a Single Image to a Thousand Classes using Distillation"
sliders
Concept Sliders for Precise Control of Diffusion Models
SLiMe
1-shot image segmentation using Stable Diffusion
tokenization
A comprehensive deep dive into the world of tokens
what-is
Important concepts in numerical linear algebra and related areas